This study used the Kano model regression analysis to examine the degree of quality factors affecting the satisfaction of users of live streaming and to identify the attractiveness factors that influence users' preference for such content, in order to improve user satisfaction and meet appropriate consumer needs. The importance ranking of quality factors was found to be content > entertainment > uniqueness. The study also applied the leisure motivation theory model to investigate the differences in the classification of talent live streaming quality and user satisfaction evaluation among users with different leisure motivations. The results indicated that interactive exploratory users value the performers' multiple talents and interactive functions, emphasize personal characteristics and timely response to attention, which is in line with the characteristics of this group; learning-challenging users value the performers' professionalism, as well as the ability to improvise and display personal characteristics, in line with the group's preference for learning and challenging characteristics; stimulus avoidance users value the attribute qualities of healing and stress relief, humor and amusement, and pleasant mood, in line with their leisure motivation of stimulus avoidance.